Possible Nonlocal Effects inμDecay

T. D. Lee; C. N. Yang

doi:10.1103/physrev.108.1611

Nonlocal effects in magnetization of high-κsuperconductors

Physical Review B ◽

10.1103/physrevb.62.9077 ◽

2000 ◽

Vol 62 (13) ◽

pp. 9077-9082 ◽

Cited By ~ 12

Author(s):

V. G. Kogan ◽

S. L. Bud’ko ◽

I. R. Fisher ◽

P. C. Canfield

Keyword(s):

Nonlocal Effects

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Nonlocal Effects Reflect the Jamming Criticality in Frictionless Granular Flows Down Inclines

Physical Review Letters ◽

10.1103/physrevlett.126.228002 ◽

2021 ◽

Vol 126 (22) ◽

Author(s):

Hugo Perrin ◽

Matthieu Wyart ◽

Bloen Metzger ◽

Yoël Forterre

Keyword(s):

Granular Flows ◽

Nonlocal Effects

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Rheology of Cohesive Granular Media: Shear Banding, Hysteresis, and Nonlocal Effects

Physical Review X ◽

10.1103/physrevx.11.021017 ◽

2021 ◽

Vol 11 (2) ◽

Author(s):

Sandip Mandal ◽

Maxime Nicolas ◽

Olivier Pouliquen

Keyword(s):

Granular Media ◽

Shear Banding ◽

Nonlocal Effects

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Connecting complex networks to nonadditive entropies

Scientific Reports ◽

10.1038/s41598-020-80939-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

R. M. de Oliveira ◽

Samuraí Brito ◽

L. R. da Silva ◽

Constantino Tsallis

Keyword(s):

Statistical Mechanics ◽

Energy Distribution ◽

Complex Networks ◽

Wide Class ◽

Scale Invariant ◽

Nonlocal Effects ◽

Geometric Problem ◽

Exponential Factor ◽

Research Areas ◽

Quasi Stationary State

AbstractBoltzmann–Gibbs statistical mechanics applies satisfactorily to a plethora of systems. It fails however for complex systems generically involving nonlocal space–time entanglement. Its generalization based on nonadditive q-entropies adequately handles a wide class of such systems. We show here that scale-invariant networks belong to this class. We numerically study a d-dimensional geographically located network with weighted links and exhibit its ‘energy’ distribution per site at its quasi-stationary state. Our results strongly suggest a correspondence between the random geometric problem and a class of thermal problems within the generalised thermostatistics. The Boltzmann–Gibbs exponential factor is generically substituted by its q-generalisation, and is recovered in the $$q=1$$ q = 1 limit when the nonlocal effects fade away. The present connection should cross-fertilise experiments in both research areas.

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Unilateral isometric muscle fatigue decreases force production and activation of contralateral knee extensors but not elbow flexors

Applied Physiology Nutrition and Metabolism ◽

10.1139/apnm-2014-0109 ◽

2014 ◽

Vol 39 (12) ◽

pp. 1338-1344 ◽

Cited By ~ 30

Author(s):

Israel Halperin ◽

David Copithorne ◽

David G. Behm

Keyword(s):

Muscle Fatigue ◽

Force Production ◽

Voluntary Activation ◽

Knee Extensors ◽

Elbow Flexors ◽

Post Intervention ◽

Nonlocal Effects ◽

And Performance ◽

Voluntary Contractions ◽

Isometric Muscle

Nonlocal muscle fatigue occurs when fatiguing 1 muscle alters performance of another rested muscle. The purpose of the study was to investigate if fatiguing 2 separate muscles would affect the same rested muscle, and if fatiguing the same muscle would affect 2 separate muscles. Twenty-one trained males participated in 2 studies (n = 11; n = 10). Subjects performed 2 pre-test maximum voluntary contractions (MVCs) with the nondominant knee extensors. Thereafter they performed two 100-s MVCs with their dominant knee extensors, elbow flexors, or rested. Between and after the sets, a single MVC with the nondominant rested knee extensors was performed. Subsequently, 12 nondominant knee extensors repeated MVCs were completed. Force, quadriceps voluntary activation (VA), and electromyography (EMG) were measured. The same protocol was employed in study 2 except the nondominant elbow-flexors were tested. Study 1: Compared with control conditions, a significant decrease in nondominant knee extensors force, EMG, and VA was found under both fatiguing conditions (P ≤ 0.05; effect size (ES) = 0.91–1.15; 2%–8%). Additionally, decrements in all variables were found from the first post-intervention MVC to the last (P ≤ 0.05; ES = 0.82–2.40; 9%–20%). Study 2: No differences were found between conditions for all variables (P ≥ 0.33; ES ≤ 0.2; ≤3.0%). However, all variables decreased from the first post-intervention MVC to the last (P ≤ 0.05; ES = 0.4–3.0; 7.2%–19.7%). Whereas the rested knee extensors demonstrated nonlocal effects regardless of the muscle being fatigued, the elbow-flexors remained unaffected. This suggests that nonlocal effects are muscle specific, which may hold functional implications for training and performance.

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